Advances in Statistical Bioinformatics

Download or Read eBook Advances in Statistical Bioinformatics PDF written by Kim-Anh Do and published by Cambridge University Press. This book was released on 2013-06-10 with total page 499 pages. Available in PDF, EPUB and Kindle.
Advances in Statistical Bioinformatics
Author :
Publisher : Cambridge University Press
Total Pages : 499
Release :
ISBN-10 : 9781107244917
ISBN-13 : 1107244919
Rating : 4/5 (17 Downloads)

Book Synopsis Advances in Statistical Bioinformatics by : Kim-Anh Do

Book excerpt: Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.


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